Skill Demand Index
Data Analytics/Data Analysis — Demand & Depth Analysis
Based on 1 scored job postings out of 3,786 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L3
Median Depth
0%
Gap Rate
1
Jobs Analyzed
Proficient
Most employers want Data Analytics/Data Analysis at hands-on daily use, not textbook knowledge.
Overview
What is Data Analytics/Data Analysis?
Market context for Data Analytics/Data Analysis in the current job market
Data Analytics/Data Analysis is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Analytics/Data Analysis typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Analytics/Data Analysis:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L3 depth — hands-on proficiency, not surface awareness
- •Most demand comes from Data Analysis roles — 100% of all Data Analytics/Data Analysis jobs
What L3 means in practice:
L3 (Proficient) means daily professional use. You should be able to work independently with Data Analytics/Data Analysis without needing supervision or constant guidance.
This means employers aren't looking for someone who has used Data Analytics/Data Analysis once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 0% means most candidates have adequate Data Analytics/Data Analysis proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Analytics/Data Analysis most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Data Analytics/Data Analysis include Supervisory Experience and AI/ML for predictive analytics.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Analytics/Data Analysis requirements across 1 scored evaluations
Average depth: L3.0·Median depth: L3.0
Salary Correlation
Pay Impact
How Data Analytics/Data Analysis affects compensation based on postings with disclosed salary data
Without Data Analytics/Data Analysis
$139K
Median $130K
978 jobs
Skill Demand Insight
“Data Analytics/Data Analysis appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Analytics/Data Analysis
Role Breakdown
Top Role Categories
Job categories most likely to require Data Analytics/Data Analysis
Gap Analysis
Gap Rate Explained
How often Data Analytics/Data Analysis is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Analytics/Data Analysis appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Data Analytics/Data Analysis in demand in 2026?
Yes. Data Analytics/Data Analysis appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
What level of Data Analytics/Data Analysis do most jobs require?
The median required depth is L3. Most roles expect intermediate competency — independent work without supervision.
Does knowing Data Analytics/Data Analysis increase salary?
Salary data for Data Analytics/Data Analysis is still accumulating.
What other skills pair with Data Analytics/Data Analysis?
The most common pairings are Supervisory Experience, AI/ML for predictive analytics, SQL and RDBMS, Big Data, PowerBI and/or Tableau. Strengthening these alongside Data Analytics/Data Analysis improves your fit across more positions.
What roles need Data Analytics/Data Analysis the most?
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Data Analytics/Data Analysis jobs.
How do I improve my Data Analytics/Data Analysis level?
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against Data Analytics/Data Analysis job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Analytics/Data Analysis gaps →See how your depth compares to what employers actually require
All Skills · Roles · Companies · Browse Jobs